Biclustering in Big Biological Data Analysis

Bioinformatics is an interdisciplinary science that develops and uses computational techniques to analyze and interpret biological data. With the emerging next generation sequencing technologies, bioinformatics is firmly positioned in the big data era. A huge amount of omics data has been generated and provide unprecedented opportunities for us to understand complex biological system. Meanwhile, the big data also brings in substantial challenges in computational process and analysis, and mathematical modeling and mining. Hence, it is critical to develop advanced bioinformatics tools to meet the challenges. Biclustering is a widely used bioinformatics technique and our in-house program, QUBIC, is reviewed as one of the most efficient and effective biclustering methods for gene expression data analysis and interpretation. In this poster, we are going to take QUBIC as an example to introduce the algorithm, tools and broad applications of the biclustering technique in big biological data analysis.